Triple
T33011825
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Le Devoir |
E844663
|
entity |
| Predicate | followsJournalisticModel |
P89241
|
FINISHED |
| Object | opinion-led broadsheet |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: opinion-led broadsheet | Statement: [Le Devoir, followsJournalisticModel, opinion-led broadsheet]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: followsJournalisticModel Context triple: [Le Devoir, followsJournalisticModel, opinion-led broadsheet]
-
A.
journalisticPrinciple
Indicates a normative guideline or standard that governs how journalistic work should be conducted or evaluated.
-
B.
journalismType
chosen
Indicates the specific category or style of journalism that characterizes a given journalistic work or activity.
-
C.
comparedJournalismTo
Indicates that one entity explicitly likened or evaluated something in relation to journalism, drawing a comparison between the two.
-
D.
basedOnExperienceAsJournalist
Indicates that something is determined, influenced, or derived from a person's prior work or role as a journalist.
-
E.
journalistsFace
Indicates that journalists encounter or experience a particular challenge, condition, or situation.
- F. None of above.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69f3494f3b4081909dccf2af34372a26 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69fe629b4fa481908467c7c41b77f0c6 |
completed | May 8, 2026, 10:24 p.m. |
| PD | Predicate disambiguation | batch_69fe61bb260c819083f9378a3a06ca47 |
completed | May 8, 2026, 10:20 p.m. |
Created at: May 1, 2026, 1:23 a.m.